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MinIOMI

Field Chief Technology Officer (Field CTO)

MinIO is a high-performance, Kubernetes-native object storage company that provides S3-compatible storage solutions for large-scale AI/ML, data lake, and database workloads. It is software-defined and can run on any cloud or on-premises infrastructure.

MinIO

Employee count: 51-200

India only

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MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.

We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers.

As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads.

What You Will Do

  • Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization.
  • Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems.
  • Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics.
  • Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments.
  • Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements.

Required Qualifications

  • 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO).
  • Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives.

AI & Machine Learning Architectures:

  • Deep architectural understanding of Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone).
  • Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face).
  • Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this.

Modern Analytics & Data Systems:

  • Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage.
  • Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks).
  • Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures.

Infrastructure & Cloud-Native Tech:

  • Strong command of Kubernetes, containerization, and cloud-native orchestration.
  • Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design.
Equal Opportunity Policy (EEO)

MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

About the job

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Job type

Full Time

Experience level

Experience

10 years minimum

Location requirements

Hiring timezones

India +/- 0 hours

About MinIO

Learn more about MinIO and their company culture.

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Our customers often grapple with the challenge of managing and accessing massive amounts of unstructured data efficiently and cost-effectively. In a world increasingly driven by AI, machine learning, and big data analytics, the ability to store, retrieve, and process vast datasets is paramount. Traditional storage solutions often fall short, proving too expensive, inflexible, or unable to handle the performance demands of modern workloads. This is why we developed MinIO, a high-performance, Kubernetes-native object storage solution. We empower our customers to build their own cloud storage infrastructure, giving them control over their data and enabling them to run demanding applications seamlessly across public, private, and edge environments.

MinIO is designed to address the escalating demands of unstructured data growth, offering an S3-compatible platform that allows developers to store everything from photos and videos to log files and container images. Our customers face the need for a storage solution that is not only scalable and resilient but also deeply integrated with the cloud-native ecosystem. MinIO meets this need by being software-defined and optimized for multi-cloud environments, running on any cloud or on-premises infrastructure. We understand that for AI and machine learning workloads, performance is critical. MinIO delivers exceptional read/write speeds, enabling organizations to accelerate their AI/ML pipelines and analytics. Furthermore, as data becomes the lifeblood of every organization, our customers require robust data protection, security, and lifecycle management features, all of which are integral to the MinIO platform. By providing a unified, high-performance object storage solution, we help our customers overcome data silos, reduce infrastructure costs, and unlock the full potential of their data.

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